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arXiv Computer Vision By Jiaqi Huang, Shidong Wang, Tong Xin, Kabita Adhikari

EndoPrior-GS: Dynamic Endoscopic Reconstruction with a Joint Texture Prior

Read the original on arXiv Computer Vision →

EndoPrior-GS is a new pipeline for dynamic endoscopic reconstruction that combines frame-extracted vision heuristics with depth maps. It creates a joint texture prior using a tool-filtered tissue mask, a non-specular photometric filter, and anatomical salience, which guides primitive initialization and density control. Experiments on EndoNeRF and SCARED datasets show that EndoPrior-GS reduces Flow Error by 27.7% and 25.8% compared to representative methods while maintaining real-time rendering speed and competitive quality.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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